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            "Topic :: Utilities"
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        "description": "# Annotated images\n\nSplit folders with files (e.g. images) into train, validation and test folders. \n\nKeeps the annotation data (if there are any) together with their images.  \nGiven the input folder in the following format:\n\n```\ninput/\n        img1.jpg\n        img1.xml\n        img1.json\n        img1.*\n        img2.jpg\n        img2.xml\n        img2.json\n        img2.*\n        ...\n    ...\n```\n\nGives you this:\n\n```\noutput/\n    train/\n        img1.jpg\n        img1.xml\n        img1.json\n        img1.*\n        ...\n    val/\n        img2.jpg\n        img2.xml\n        img2.json\n        img2.*\n        ...\n    test/\n        whatever.jpg\n        whatever.xml\n        whatever.json\n        whatever.*\n        ...\n```\n-   Works on any file types.\n-   A [seed](https://docs.python.org/3/library/random.html#random.seed) lets you reproduce the splits.\n\n## Counting occurrences of tags\nThis package includes functions to count the occurrences of a tag in JSON and XML files.  \nThey can go through all files in a folder and count the occurrence of each tag on every (annotated) image.\n\n## Install\n\n```bash\npip install annotated-images\n```\n\n### Module\n\n```python\nimport annotated_images\n\n# To only split into training and validation set, set a tuple to `ratio`, i.e, `(.8, .2)`.\nannotated-images.split('input_folder', output=\"output\", seed=1337, ratio=(.8, .1, .1))\n```\n\n```python\nimport annotated_images\n\n# Returns total count of 'tag' found in all json files in 'path'\nannotated-images.findTagsJson('path', 'tag')\n\n# Returns total count of 'tag' found in all xml files in 'path'\nannotated-images.findTagsXml('path', 'tag')\n```\n\n### Ref\nthis package is forked from https://github.com/jfilter/split-folders",
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